VideoHandles

Abstract

We present VideoHandles, a novel interaction technique to support rapid review of wearable video camera data by re-performing gestures as a search query. The availability of wearable video capture devices has led to a significant increase in activity logging across a range of domains. However, searching through and reviewing footage for data curation can be a laborious and painstaking process. In this paper we showcase the use of gestures as search queries to support review and navigation of video data. By exploring example self-captured footage across a range of activities, we propose two video data navigation styles using gestures: prospective gesture tagging and retrospective gesture searching. We describe VideoHandles' interaction design, motivation and results of a pilot study.